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  1. estimator_checks_generator — scikit-learn 1.7.1...

    legacy : bool = True , expected_failed_checks... : dict [ str , str ] | None = None , mark : Literal [ 'xfail'...
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat...
    Mon Aug 25 13:49:19 UTC 2025
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  2. Test with permutations the significance of a cl...

    clf = SVC ( kernel = "linear" , random_state = 7 ) cv = StratifiedKFold...load_iris iris = load_iris () X = iris . data y = iris . target...
    scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html
    Mon Aug 25 13:49:18 UTC 2025
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  3. Image denoising using kernel PCA — scikit-learn...

    random_state = 0 , train_size = 1_000 , test_size = 100 ) rng = np ....axs = plt . subplots ( nrows = 10 , ncols = 10 , figsize = ( 8...
    scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html
    Mon Aug 25 13:49:19 UTC 2025
      102.6K bytes
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  4. fbeta_score — scikit-learn 1.7.1 documentation

    labels = None , pos_label = 1 , average = 'binary' , sample_weight...average = "macro" , ... zero_division = np . nan , ... beta = 0.5...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
    Mon Aug 25 13:49:24 UTC 2025
      124.5K bytes
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  5. locally_linear_embedding — scikit-learn 1.7.1 d...

    reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html
    Mon Aug 25 13:49:24 UTC 2025
      115.5K bytes
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  6. ストレートなジョブ (LastaJob) | LastaFlute

    #job /= = = = = = = = = = = = = = = = = = = = = = = = = = = = =...outsideSql=0, procedure=0} = = = = = = = = = =/ [00m00s014ms] #47667fab...
    dbflute.seasar.org/ja/lastaflute/howto/architecture/jobscheduling.html
    Tue Aug 12 02:41:09 UTC 2025
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  7. RadiusNeighborsClassifier — scikit-learn 1.7.1 ...

    leaf_size = 30 , p = 2 , metric = 'minkowski' , outlier_label = None...radius = 1.0 , * , weights = 'uniform' , algorithm = 'auto' ,...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html
    Mon Aug 25 13:49:19 UTC 2025
      152.2K bytes
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  8. Feature importances with a forest of trees — sc...

    n_repeated = 0 , n_classes = 2 , random_state = 0 , shuffle = False ,...n_repeats = 10 , random_state = 42 , n_jobs = 2 ) elapsed_time = time...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html
    Mon Aug 25 13:49:18 UTC 2025
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  9. Lasso on dense and sparse data — scikit-learn 1...

    y = make_regression ( n_samples = 200 , n_features = 5000...coo_matrix ( X ) alpha = 1 sparse_lasso = Lasso ( alpha = alpha , fit_intercept...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html
    Mon Aug 25 13:49:23 UTC 2025
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  10. MultiTaskLasso — scikit-learn 1.7.1 documentation

    l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html
    Mon Aug 25 13:49:18 UTC 2025
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